Chunks, Schemata, and Retrieval Structures: Past and Current Computational Models

Chunks, Schemata, and Retrieval Structures: Past and Current Computational Models

A recurring question in psychology and cognitive science concerns the expression of theories that are internally consistent and testable. Natural language is unsatisfactory, as theoretical concepts and mechanisms are not stated with sufficient precision (e.g., Newell et al., 1958; Newell and Simon, 1972; Farrell and Lewandowsky, 2010; Jones et al., 2014). Formal and, in particular, computationa...

Retrieval structures and schemata : A brief reply to Ericsson and Kintsch

Mathematical Models of Computational and Combinatorial Structures

The general aim of this talk is to advocate a combinatorial perspective, together with its methods, in the investigation and study of models of computation structures. This, of course, should be taken in conjunction with the wellestablished views and methods stemming from algebra, category theory, domain theory, logic, type theory, etc. In support of this proposal I will show how such an approa...

2 past Research: Information Retrieval Models

My research interests lie in Machine Learning (ML) and its applications to Information Retrieval (IR), Text analysis and Data Mining (DM). These applied areas have historically been driven by empirical approaches. While these approaches have been quite successful in terms of performance, one of their major drawbacks is their lack of easy interpretability. It is my firm belief that machine learn...

Mental imagery and chunks: empirical and computational findings.

To investigate experts' imagery in chess, players were required to recall briefly presented positions in which pieces were placed on the intersections between squares (intersection positions). Position types ranged from game positions to positions in which both the piece distribution and the location were randomized. Simulations were run with the CHREST model (Gobet & Simon, 2000). The simulati...